Data Analyst - Onchain

Job description

Data Analyst, Onchain At Kraken, onchain data isn't just numbers, it's the pulse of crypto. The Onchain team lives where code meets capital, turning raw blockchain data into insight, strategy, and alpha. Responsibilities Partner with product, trading, and data teams to uncover insights across the full onchain user journey from first trade to long-term retention. Build and maintain datasets capturing wallet activity, liquidity movement, feature usage, and trading behavior. Design metrics and dashboards in dbt and BI tools that reveal trends in user growth, engagement, and trading activity. Analyze funnels, LTV, and retention metrics to inform product strategy and optimize user experience. Investigate onchain signals (wallet clustering, transaction flow, and capital allocation) to identify growth opportunities. Develop frameworks to attribute trading performance and ROI across products, markets, and user segments. Collaborate with engineers to scale onchain data pipelines and improve data quality and accessibility. Communicate insights clearly and visually, translating complex blockchain data into simple, actionable stories. Qualifications 3+ years in product or trading analytics, ideally within crypto, fintech, or data driven trading environments. Strong grasp of onchain fundamentals - wallets, DEXs, liquidity, bridges, and token mechanics. Proficiency in SQL, Python (pandas, matplotlib, plotly), and dbt for modeling and analysis. Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly. Familiarity with onchain data sources (Dune, Flipside, Nansen, APIs, or subgraphs). Proven ability to measure user behavior and product health through LTV, retention, funnel, and engagement metrics. Strong communicator who can align data insights with product and trading strategies. Crypto native - curious, analytical, and hands on with the tools and products you analyze. Nice to Have Experience modeling MEV flows, liquidity provisioning, or token distribution mechanics. Exposure to algo trading, onchain market making, or portfolio attribution systems. Contributions to open source DeFi analytics or onchain dashboards. This job is accepting ongoing applications and there is no application deadline. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind. Whether that's based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.